Pgvector vs. MongoDB Atlas
Compare Pgvector vs. MongoDB Atlas by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
Pgvector vs. MongoDB Atlas on Scalability
Yes. pgvector enables separation of storage and compute by allowing you to store your application data on one database while storing vectors, lookup values, and filter values on a separate database.
Yes. Atlas introduced search nodes, providing dedicated infrastructure for Atlas search and vector search workloads.
Yes. Atlas can dynamically balance the data between shards via range migrations.
pgvector scalability
You can use a solution like YugaByteDB to extend the capabilities of Postgres for distributed environments.
Pgvector vs. MongoDB Atlas on Functionality
Performance is the biggest challenge with vector databases as the number of unstructured data elements stored in a vector database grows into hundreds of millions or billions, and horizontal scaling across multiple nodes becomes paramount.
Furthermore, differences in insert rate, query rate, and underlying hardware may result in different application needs, making overall system tunability a mandatory feature for vector databases.
Yes. Sparse & Dense Vectors and Scalar filtering.
Yes - Pre-filtering using an MQL match experssion that compares an indexed field with boolean, number, or string.
No. MongoDB organizes data into databases and collections, but it does not have a hierarchical structure like sub-collections within collections.
HNSW & IVFFlat
HNSW
MongoDB (Atlas Vector Search)
Atlas has support for vector embeddings that are less than or equal to 2048 dimensions.
Pgvector vs. MongoDB Atlas on Purpose-built
pgvector is an add-on to Postgres
Add on to Atlas
Use pgvector from any language with a Postgres client
C#, Java, Node, Pymango
Pgvector vs. MongoDB Atlas: what’s right for me?
Pgvector
pgvector is a PostgreSQL extension designed to facilitate the storage, querying, and indexing of vectors within a PostgreSQL database.
License: PostgreSQL License
MongoDB (Atlas Vector Search)
Altas is a managed cloud database based on MongoDB document database.
SaaS
The Definitive Guide to Choosing a Vector Database
Overwhelmed by all the options? Learn key features to look for & how to evaluate with your own data. Choose with confidence.